Digital Platforms for Scholarly Engagement in Astrophysics and Data Science

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Explore a collection of resources covering digital platforms, data wrangling, cleaning pipelines, GitHub utilization, and more for scholars in the fields of astrophysics and data science. Enhance your research data lifecycle experience and learn about tools like Open Refine, GitHub, and software/data carpentry.


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  1. DIGITAL PLATFORMS FOR ALL SCHOLARS C. Erdmann Harvard-Smithsonian Center for Astrophysics @libcce | cerdmann@cfa.harvard.edu

  2. From the Programming Historian: Big Data + Old History A. Crymble: https://www.youtube.com/watch?v=tp4y-_VoXdA

  3. Training for Librarians Training for Scholars DST4L @ DTU http://podcast.llab.dtu.dk/feeds/dst4l-2015

  4. Experience the Research Data Lifecycle Jeffrey Heer Data Wrangler / Trifacta

  5. Data Wrangling w/ Open Refine

  6. Data Cleaning Pipeline

  7. Facet/Filter

  8. Advanced Cleaning w/ GREL

  9. Extract & Share Operation History

  10. Open Refine in the Cloud

  11. Recipes & Training Recipes: https://github.com/OpenRefine/OpenRefine/wiki/Recipes Big Data University, Introduction to Open Refine: https://bigdatauniversity.com/courses/introduction-to- openrefine/

  12. Software/Data Carpentry

  13. GitHub in the Classroom

  14. File Versioning

  15. GitHub diffs

  16. Using pull requests Pull requests let you tell others about changes you've pushed to a repository on GitHub. Once a pull request is sent, interested parties can review the set of changes, discuss potential modifications, and even push follow-up commits if necessary. https://help.github.com/articles/using-pull-requests/

  17. Issues Gitter

  18. GitHub Pages

  19. GitHub Danger Zone

  20. Preserve & Cite

  21. GitHub Training GitHub Online Classes: https://training.github.com/classes/ Software Carpentry, OReilly, Lynda, etc

  22. How to negotiate with publishers: an example of immediate self- archiving despite publisher s embargo policy PANDELIS PERAKAKIS, PHD Academic Website https://pandelisperakakis.wordpress.com/2015/09/09/how-to-negotiate-with- publishers-an-example-of-immediate-self-archiving-despite-publishers-embargo- policy/

  23. Jupyter (IPython) Notebooks

  24. Interactive notebooks: Sharing the code The free IPython notebook makes data analysis easier to record, understand and reproduce. Helen Shen 05 November 2014 Nature http://www.nature.com/news/interactive-notebooks-sharing-the- code-1.16261

  25. Lorena A. Barba group Introducing AeroPython! I decided to develop a set of lessons using IPython Notebooks, to use as the scaffold for interactive class meetings. IPython Notebooks allow me to create media-rich content for the students, embedding executable Python code within it. Google Hangout: https://www.youtube.com/watch?v=HVfLnpoyqxE

  26. Render Jupyter & GeoJSON on GitHub

  27. Tableau & Plotly

  28. On the near horizon

  29. Thank you. Questions?

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